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About the Role
This Data Engineer II role sits on the Engineering team, reporting to the Senior Director of Data Engineering. Your focus will include evolving our data platform using technologies such as Databricks and Spark, building scalable data pipelines, and serving customers through purpose-built data stores including RDS, Elasticsearch, and DynamoDB. This is a hands-on individual contributor role with ownership of complex data engineering initiatives that support the scalability, reliability, and continued evolution of SpyCloud’s data platform.
Responsibilities
- Design, build, and improve scalable data systems with a focus on performance, and reliability.
- Use Databricks and Spark to prepare, transform, and serve high-quality data to customers and downstream systems.
- Build, optimize, and maintain real-time and batch data pipelines using AWS technologies such as Lambda, S3, DynamoDB, ECS, EKS, and Terraform, as well as develop and maintain pipelines within the Databricks ecosystem.
- Identify and implement improvements to the cost and performance of data ingestion, transformation, and storage workflows.
- Be available for on-call support to troubleshoot and remediate data pipeline failures outside of standard business hours.
- Partner with Product Management, SpyCloud Labs, and Engineering teams to understand requirements and develop effective technical solutions.
- Evaluate and implement modern tooling for data processing, ML/AI data workflows, and observability.
- Contribute to architectural and technical design decisions and help implement scalable solutions aligned with engineering standards.
- Promote engineering best practices through collaboration, code reviews, documentation, and knowledge sharing.
- Identify and resolve complex data quality, performance, security, and reliability issues across production systems.
- Independently own complex data engineering initiatives from design and development through deployment and production support.
- Contribute to the continued evolution of SpyCloud’s data platform as product, customer, and AI requirements grow.
Requirements
- 5+ years of professional experience in data engineering, software engineering, or a closely related discipline.
- Experience building and operating Lakehouse, Databricks, or large-scale distributed data architectures in AWS.
- Strong understanding of distributed systems as they relate to data storage, processing, and computing.
- Experience building and managing Elasticsearch/OpenSearch data stores.
- Hands-on experience designing, building, and maintaining ETL and data-processing pipelines.
- Experience preparing and managing data for machine learning and LLM workflows.
- Strong development skills in Python, particularly when building data-intensive systems.
- Practical experience with DynamoDB and other AWS-native data services.
- Experience with infrastructure-as-code tools such as Terraform.
- Experience troubleshooting complex data pipeline, performance, and data quality issues in production environments.
- Ability to independently own complex technical projects from design and development through deployment and production support.
- Ability to evaluate technical trade-offs and contribute effectively to architectural and design decisions.
- Strong communication and collaboration skills across technical and non-technical stakeholders.
Skills
- Databricks
- Spark
- RDS
- Elasticsearch
- DynamoDB
- AWS
- Lambda
- S3
- ECS
- EKS
- Terraform
- Python
- SageMaker
- LangChain
- Go
- C
Location
- South Austin
Work Type
- Remote
- Hybrid
- Full Time
Experience Level
- 5+ years of professional experience
Education Level
- Bachelor's or Master's degree in Computer Science, Engineering, or a related STEM field.
Salary/Compensations
- $104,000 – $135,000
Benefits
- 401(k) with Employer Contribution
- Health, Vision, and Dental Insurance
- Health Savings Account (HSA) available with Employer Contribution
- Employer Paid Life, Short-term, and Long-term Disability Insurance
- Generous PTO Plan and 16 paid holidays per year
- Retirement Savings Plan with Employer Contribution
- Employer Provided Private Health Insurance and Healthcare Cashplan
- Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
- Employee Assistance Program
- 25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays
About the Company
- SpyCloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions use advanced analytics and AI to accelerate investigations and protect workforce, consumer, and supplier identities from the threats that matter most: authentication bypass, session hijacking, malicious insiders, account takeover, ransomware, and fraud. Its data from malware-infected devices, successful phishes, combolists, and third-party breaches also powers many popular dark web monitoring and identity theft protection offerings. Customers include 7 of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 250 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.
- Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals’ ability to profit from stolen information.
- SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we’re amazing, but together, we’re unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all.
- Our culture is something really special. We’re all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you’ll fit right in.
Equal Opportunity
- We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
- SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.
- If you need assistance or accommodation due to a disability, you may contact us.